2007 2nd Bio-inspired Models of Network, Information and Computing Systems (Bionetics)

2007 2nd Bio-inspired Models of Network, Information and Computing Systems (Bionetics) PDF Author: IEEE Staff
Publisher:
ISBN: 9781424436491
Category : Computers
Languages : en
Pages : 329

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2007 2nd Bio-inspired Models of Network, Information and Computing Systems (Bionetics)

2007 2nd Bio-inspired Models of Network, Information and Computing Systems (Bionetics) PDF Author: IEEE Staff
Publisher:
ISBN: 9781424436491
Category : Computers
Languages : en
Pages : 329

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Book Description


2007 2nd Bio-Inspired Models of Network, Information and Computing Systems

2007 2nd Bio-Inspired Models of Network, Information and Computing Systems PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Bio-Inspired Models of Network, Information and Computing Systems, 2007. Bionetics 2007. 2nd

Bio-Inspired Models of Network, Information and Computing Systems, 2007. Bionetics 2007. 2nd PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Bio-Inspired Models of Network, Information, and Computing Systems

Bio-Inspired Models of Network, Information, and Computing Systems PDF Author: Junichi Suzuki
Publisher: Springer
ISBN: 3642326153
Category : Computers
Languages : en
Pages : 712

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Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the 5th International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems (BIONETICS 2010) which was held in Boston, USA, in December 2010. The 78 revised full papers were carefully reviewed and selected from numerous submissions for inclusion in the proceedings. BIONETICS 2010 aimed to provide the understanding of the fundamental principles and design strategies in biological systems and leverage those understandings to build bio-inspired systems.

Bio-Inspired Models of Network, Information, and Computing Systems

Bio-Inspired Models of Network, Information, and Computing Systems PDF Author: Emma Hart
Publisher: Springer
ISBN: 3642327117
Category : Computers
Languages : en
Pages : 270

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Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Bio-Inspired Models of Network, Information, and Computing Systems (Bionetics). The event took place in the city of York, UK, in December 2011. Bionetics main objective is to bring bio-inspired paradigms into computer engineering and networking, and to enhance the fruitful interactions between these fields and biology. The papers of the conference were accepted in 2 categories: full papers and work-in progress. Full papers describe significant advances in the Bionetics field, while work-in-progress papers present an opportunity to discuss breaking research which is currently being evaluated. The topics are ranging from robotic coordination to attack detection in peer-to-peer networks, biological mechanisms including evolution, flocking and artificial immune systems, and nano-scale communication and networking.

Bio-Inspired Models of Network, Information, and Computing Systems

Bio-Inspired Models of Network, Information, and Computing Systems PDF Author: Gianni A. Di Caro
Publisher: Springer
ISBN: 3319069446
Category : Computers
Languages : en
Pages : 325

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Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Bio-Inspired Models of Network, Information and Computing Systems (Bionetics 2012), held in Lugano, Switzerland, in December 2012. The 23 revised full papers presented were carefully reviewed and selected from 40 submissions. They cover topics such as networking, robotics and neural networks, molecular scale and bioinformatics, optimization and bio-inspired modeling in various fields.

Bioinspired Models of Network, Information, and Computing Systems

Bioinspired Models of Network, Information, and Computing Systems PDF Author: Yezekael Hayel
Publisher: Springer
ISBN: 3642128084
Category : Computers
Languages : en
Pages : 214

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Book Description
This volume of LNICST is a collection of the papers of the 4th International Conference on Bio-Inspired Models of Network, Information, and Computing Systems (Bionetics). The event took place in the medieval city of Avignon, known also as the City of the Popes, during December 9 to 11, 2009. Bionetics main objective is to bring b- inspired paradigms into computer engineereing and networking, and to enhance the fruitful interactions between these fields and biology. The program of the conference indeed includes applications of various paradigms that have their origin in biology: population dynamics, branching processes, ant c- ony optimization. The proceedings include 19 papers covering a broad range of - portant issues in areas related to bio-inspired technologies. They correspond to pr- entations at 6 technical sessions. Four papers correspond to an invited session on the Epidemic-type forwarding in DTNs (sparse mobile ad-hoc wireless networks) org- ized by Dr Francesco De Pellegrini, (Italy, CREATE-NET). The following 9 papers (selected out of 15 submissions) correspond to contributions to regular sessions on Bio-inspired security, Bio-Inspired Networking, Bioinspired algorithms and software systems. The remaining 6 papers (selected out of a total of 9 submissions) are de- cated to work in progress. For each paper, we have provided at least two independent reviews, most of which were offered by members of the TPC.

Bio-inspired Models of Network, Information and Computing Systems, 2006, 1st

Bio-inspired Models of Network, Information and Computing Systems, 2006, 1st PDF Author:
Publisher:
ISBN: 9781424405398
Category : Biotechnology
Languages : en
Pages : 224

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IT Revolution

IT Revolution PDF Author: Mihaela Ulieru
Publisher: Springer Science & Business Media
ISBN: 3642039782
Category : Computers
Languages : en
Pages : 270

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Book Description
“Mitigating Paradox at the eSociety Tipping Point” In the first two decades of the past Century, having as driving factor the automobile and its mass production, the command economy has radically changed our lifestyles, enabling the creation of offices, suburbs, fast food restaurants and unified school d- tricts. With the Internet as driving factor, socio-technical and industrial eNetworked ecosystems are about to change our lives again in these two decades of the twenty-first century, and we are just approaching the tipping point. As we have just reached the point where the tremendous changes fueled by concerted efforts in information communication technologies (ICT) research are unraveling the old society this is creating a lot of d- comfort, confusion and sometimes opposition from the traditional mainstream. This disconnect is being deepened even more by the rocketing speed of technological ICT advances. As technology is getting ahead of society, the old ways, although still do- nant, become more and more dysfunctional and we are experiencing an "age of pa- dox" as the new ways disrupt the way we used to do things and even the way we used to think about the world. Just like the major inventions that shaped the last century were made by 1920, it is expected that the major inventions that will shape the twen- first century are going to be made by 2020.

Learning Approaches in Signal Processing

Learning Approaches in Signal Processing PDF Author: Francis Ring
Publisher: CRC Press
ISBN: 0429590326
Category : Computers
Languages : en
Pages : 339

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Book Description
Coupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security, and bio-informatics applications has witnessed explosive growth. This has been made possible via fast algorithms on data, speech, image, and video processing with advanced GPU technology. This book presents an up-to-date tutorial and overview on learning technologies such as random forests, sparsity, and low-rank matrix estimation and cutting-edge visual/signal processing techniques, including face recognition, Kalman filtering, and multirate DSP. It discusses the applications that make use of deep learning, convolutional neural networks, random forests, etc. The applications include super-resolution imaging, fringe projection profilometry, human activities detection/capture, gesture recognition, spoken language processing, cooperative networks, bioinformatics, DNA, and healthcare.